Data Scientist (Davao)
Job Description:
Job description
Job Title: Data Scientist
Location: Davao City, Philippines (Full Time Onsite)
Work Schedule: Rotational shifts (including weekends, holidays and night shifts)
Role Overview:
The Data Scientist will extract actionable business insights from complex datasets, design and test predictive models, and partner with internal teams to support data-driven decisions. This position works onsite, in rotational shifts, in either the Davao or Makati office.
Key Responsibilities:
Collect, clean, and validate data from various sources to ensure integrity.
Conduct statistical analysis, data mining, and machine learning.
Build, test, and deploy predictive models tailored to business needs.
Visualize results and present findings to technical and business stakeholders.
Collaborate on data-driven projects with engineering, product, and operations.
Translate business goals into well-defined analytics initiatives.
Maintain complete documentation of data processes, workflows, and model development.
Requirements:
Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or allied discipline.
Proven experience in data analytics, machine learning, or data engineering.
Proficiency in Python or R, SQL, and data science libraries (Pandas, NumPy, Scikit-learn).
Solid understanding of statistics, data processing, and predictive modeling.
Experience with data visualization platforms (e.g., Tableau, PowerBI).
Excellent problem solving, documentation, and communication skills.
Willingness to work full time onsite in rotational shifts.
Compensation:
Makati: ₱40,000–₱60,000/month
Application Process:
To apply for this exciting opportunity, please submit the following documents:
1. Resume with a cover letter highlighting your relevant experience.
2. Copy of university diplomas.
3. Official Transcript of Records.
How to Apply:
Submit your application via email to apply@globalco.com with the subject line "Application Data Scientist Davao".
Join our dynamic team now!
Required Skills:
Data